Evaluation Algorithm - Based on PID Controller Design for the Unstable Systems

Wan Ismail, Ibrahim and Erliza, Serri and Mohd Riduwan, Ghazali (2015) Evaluation Algorithm - Based on PID Controller Design for the Unstable Systems. Journal of Engineering and Applied Sciences, 10 (23). pp. 17457-17462. ISSN 1819-6608. (Published)

[img]
Preview
PDF
jeas_1215_3193.pdf
Available under License Creative Commons Attribution Non-commercial.

Download (455kB) | Preview

Abstract

PID controller consists of proportional, integral and derivatives controllers and it's widely used in industrial control system to provide optimal and excellent performance for any system. In term of controlling, unstable system exist when the system doesn’t reach a steady-state value and will instead head towards infinity. This may cause damage to the system and might bid danger in certain systems. Evaluation algorithm develops to tune the PID controller for a better performance. In this project, the evaluating PSO algorithm based on PID controller design for unstable system was proposed. Particle Swarm Optimization (PSO) is computation method by simulation of swarms behaviour in performing their tasks. In the implementation of PSO in the PID controller, the swarm will travel to search the best value of parameter Kp, Ki and Kd. In this project, the stability impact of implementation of PSO in PID controller is being investigated. This implementation offers the stability effects to the unstable system by reducing the error and provides better performance of the system.

Item Type: Article
Uncontrolled Keywords: PID controller, evaluation algorithm, PSO algorithm and unstable systems
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Mr. Wan Ismail Ibrahim
Date Deposited: 05 Feb 2016 03:19
Last Modified: 08 Feb 2018 06:56
URI: http://umpir.ump.edu.my/id/eprint/11730
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item